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Research Assistant

Checked
tatat·vlatest·other

This Research Assistant swiftly gathers information on any topic, saving you time and boosting your knowledge base for projects or learning.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tatat/agents-playground --skill research-assistant -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tatat

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned tatat/agents-playground at 0c2aeef5e8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 75 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Research Assistant skill helps you gather information and synthesize findings from various sources. It can perform web searches, summarize articles, and extract key data points to support your research efforts. This allows for quicker understanding of complex topics and efficient knowledge acquisition.

When to use it

  • Market Research: Quickly compile data on competitors or industry trends.
  • Literature Reviews: Summarize multiple academic papers related to a specific topic.
  • Fact-Checking: Verify claims by searching for supporting evidence online.
  • Background Briefing: Get up to speed quickly on a new project or unfamiliar subject.

Key capabilities

  • Web search functionality
  • Article summarization
  • Data extraction

Example prompts

  • "Find the latest research on sustainable agriculture practices."
  • "Summarize this article: [link to article]"
  • "What are the key differences between electric and hydrogen vehicles?"

Tips & gotchas

The skill's effectiveness depends on the quality of available online resources. Be prepared to refine your prompts for more targeted results.